Evidence map›Paper›PMID 29696237›Full record

ArticleContemporary clinical trials communications2018

The "Interval Walking in Colorectal Cancer" (I-WALK-CRC) study: Design, methods and recruitment results of a randomized controlled feasibility trial.

Anna Banck-Petersen, Cecilie K Olsen, Sissal S Djurhuus, Anita Herrstedt, Sarah Thorsen-Streit, Mathias Ried-Larsen, Kell Østerlind, Jens Osterkamp, Peter-Martin Krarup, Kirsten Vistisen and 4 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Variability and limitations in home-based exercise program descriptions in oncology: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 1 country.

Anna Banck-PetersenCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Cecilie K OlsenCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Sissal S DjurhuusCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Anita HerrstedtCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Sarah Thorsen-StreitCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Mathias Ried-LarsenCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Kell ØsterlindDepartment of Oncology, Rigshospitalet, Copenhagen, Denmark.
Jens OsterkampDepartment of Gastro-Intestinal Surgery, Herlev Hospital, Denmark.
Peter-Martin KrarupDigestive Disease Center, Bispebjerg Hospital, Copenhagen, Denmark.
Kirsten VistisenDepartment of Oncology, Herlev and Gentofte Hospital, Copenhagen University, Herlev, Denmark.
Camilla S MosgaardDepartment of Oncology, Herlev and Gentofte Hospital, Copenhagen University, Herlev, Denmark.
Bente K PedersenCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Pernille HøjmanCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Jesper F ChristensenCentre of Inflammation and Metabolism, Centre for Physical Activity Research (CIM /CFAS), Rigshospitalet, Copenhagen, Denmark.
Rigshospitalet · DKGentofte Hospital · DKBispebjerg Hospital · DKHerlev Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow physical activity level is associated with poor prognosis in patients with colorectal cancer (CRC). To increase physical activity, technology-based platforms are emerging and provide intriguing opportunities to prescribe and monitor active lifestyle interventions. The "Interval Walking in Colorectal Cancer"(I-WALK-CRC) study explores the feasibility and efficacy a home-based interval-walking intervention delivered by a smart-phone application in order to improve cardio-metabolic health profile among CRC survivors. The aim of the present report is to describe the design, methods and recruitment results of the I-WALK-CRC study.Methods/Results: The I-WALK-CRC study is a randomized controlled trial designed to evaluate the feasibility and efficacy of a home-based interval walking intervention compared to a waiting-list control group for physiological and patient-reported outcomes. Patients who had completed surgery for local stage disease and patients who had completed surgery and any adjuvant chemotherapy for locally advanced stage disease were eligible for inclusion. Between October 1st

conclusionIn the present study, recruitment of CRC survivors was feasible but we aim to better the recruitment rate in future studies. Further, the study clearly favored younger participants. The I-WALK-CRC study will provide important information regarding feasibility and efficacy of a home-based walking exercise program in CRC survivors.

Indexed as

Colorectal cancerExerciseInterval walkingSmart-phone applicationSurvivorship

Identifiers

PMID29696237
PMCPMC5898567
OpenAlexW2793870468

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.